We Hire Designers Who Ship
Not Just Design.
Every project here started with a brief and ended with a shipped product. Browse our case studies across AI product design, SaaS, mobile, branding, and beyond.
Why Work With Us
Real Products, Real Impact
Every project we take on ships. You won't spend months designing something that gets shelved. Your work will be used by real users at real companies.
Gr8r Studio is looking for product designers, UI/UX designers, and AI design specialists who are self-driven, craft-obsessed, and ready to work on real products for real companies. We're a fast-moving studio, if you love turning complex problems into clean interfaces, you'll fit right in.
AI Product Design FAQs
1. What is AI-native product design?
AI-native product design is the practice of designing software interfaces built around how AI behaves: probabilistic outputs, model errors, confidence states, and adaptive UI. It is different from using AI tools to do design work. Gr8r Studio is a London product design and development studio that designs AI-native products for SaaS and AI companies, focused on the moment users get value, trust the output, and decide to stay.
3. Why do AI products lose users in the first month?
5. How long does an AI product design project take?
7. Do you work with early-stage startups or only funded companies?
9. Do you offer a paid audit before a full engagement?
2. How is designing AI products different from regular UI/UX design?
Traditional software is deterministic, so the same input gives the same output and the interface can be designed for fixed states. AI products are probabilistic. Outputs vary, models fail, and confidence shifts, so the interface has to communicate uncertainty, build trust in the output, and give users a way to recover when the AI is wrong. Gr8r Studio designs for those states, which is where most AI products lose people.
4. How much does it cost to hire an AI product design agency?
6. Do you build the product, or only design it?
8. How do you measure whether a redesign actually worked?
10. How do we get started?
